Chub AI like Chatbot Development: GEN AI Companionship Platform

Every founder wants to build something that users don’t just try but come back for every day. Today, one of the strongest habit-forming categories is emerging through AI Chatbots. Users frequently rely on chatbots to ask complex questions, for companionship, solve problems, pursue their passions, and simply converse. This shift shows a significant market for Gen AI chatbot development, such as Chub AI. For founders looking to build a product with a high retention rate, creating an AI character chatbot like Chub AI is a great idea!

In this blog post, we will discuss:

• Why, as an entrepreneur, should you create an AI character chatbot like Chub AI
• What does this product category (Chub AI like chatbot development) actually do, and how does it work
• How large and fast-growing the market opportunity is, and why it is attracting so many founders and investors.

So, let’s get started!

What Is a Chub AI-Like Chatbot Platform?

It is an AI-powered, interactive character-based model designed for long-term and personalized interaction rather than one-off responses. Unlike mainstream LLMs, this AI product does not behave as a neutral, all-purpose assistant. It is designed not to have a fixed identity. Each chatbot has a defined personality, communication style, and behaviour rules as well. And the chatbot does not reset its behaviour every time a new chat starts.

So, basically, the chatbot can remember past interactions and respond in a way that reflects previous context.

How is it different from Mainstream LLMs?

Mainstream LLMs are designed to answer a wide range of questions across many subjects. But Chub AI-like chatbot platforms are built to support consistent and repeat interactions with the same AI character.

Below, we have explained the key differences between mainstream LLMs and Chub AI like Chatbot in a detailed manner:

Conversation State

Identity and Behavior

Response Control

Product Focus

System Design 

This tells that the Chub AI Style chatbot is not a simple AI integration but a complete product with distinct features from the mainstream AI models.

Key Characteristics of a human-AI interactions chatbot like Chub AI

Our Chub AI clone app development approach focuses on the following key characteristics:

Character First Design

The platform is built around characters, which is its key appeal. Users can select any character and create their own. Each character will function as a distinct conversational entity with its own behaviour model.

Multi-Session Memory

When users invest time and effort in defining their favourite character to an AI model, the last thing they want is for the bot to forget everything they shared. Had a deva vu? We know it happens frequently when you are chatting with ChatGPT, Gemini, Claude, or such mainstream AI models. They lose context mid-conversation, which can be frustrating for users. But guess what? This won’t happen with our product!

It is designed to retain the information across sessions, including user preferences, conversation history, and character-specific details. This allows it to flawlessly support the continuity in the chat, so there is no need to repeatedly re-prompt, which is a major issue with most of the mainstream AI platforms.

Controlled Personality & Behaviour

The character will not respond to the users randomly. The responses will be grounded in the established boundaries, tone, style, and response patterns to prevent personality drift.

Long-Term Conversational Depth

Nothing is more frustrating for users than to feed enormous amounts of information to a Chatbot, and yet it loses track in the middle of the conversation, prompting them to abandon the platform. This won’t be the same with our product, Chub AI, like a Chatbot. It is designed to support extended, open-ended conversations rather than short query-response exchanges.

User-Driven Interaction

Users can freely guide the conversations organically. Our platform doesn’t restrict them to a predefined flow or intent.

What This Product Is NOT

Many founders start with a great vision when building a product, but if they work with the wrong development agency, they may end up with a generic product that doesn't align with their vision. We want to make it clear that with us, you won’t face that issue.

So far, we learned what our product is about, what makes it distinct, and its key features. Similarly, learning what it’s not is just as important to gain a clear understanding of the product.

Not a customer support chatbot

It is not designed to resolve the tickets, answer the FAQs, or route users through scripted workflows.

Not a generic AI assistant

Unlike tools such as ChatGPT, which are meant for broader and utility-based responses, this product is designed for character consistency and relational continuity.

Not a rule-based conversational system

It doesn’t operate on any rule-based decision-making or fixed responses but rather generative AI.

Product Category Positioning

In the sections above, we learned about our product, its features, and what it’s like. Next, we will understand what category this AI product belongs to:

AI companion Platforms

Because the chatbot is designed for ongoing and personalized conversations, it fits into the AI companion category. The value of the product increases over time as the chatbot learns user preferences and conversation history.

Creative Roleplay AI platforms

Since its users can engage in storytelling, roleplay, and creative conversations, the platform also fits within the creative and roleplay AI category.

High-Engagement Consumer AI Products

Because dynamic storytelling chatbot development like Chub AI, supports long sessions and frequent return visits, it belongs to the high-engagement consumer AI category.

Subscription-Driven AI Products

Since users will be deriving increasing value from long-term interaction and personalization, Chub AI-like platforms naturally fit into the subscription-based AI product category.

Understanding this multi-category positioning is very important for the founders as it strongly influences how the product will be designed and how the monetisation strategy will be planned, along with other critical aspects.

User Problems This Product Solves

Chub AI-like chatbot platforms are built to solve the user problems that traditional chatbots and mainstream AI assistants do not address well. These problems are mainly related to:

Lack of Conversational Continuity in AI Tools

Most AI chatbots treat each conversation as new. Users have to repeat the context every time they return. But Chub AI, like a chatbot, solves this by:

• Remembering past conversations
• Retaining user preferences
• Continuing interactions across sessions

This way, users can anytime pick up a conversation where they left off.

Limited Personalization over time

Many chatbots offer generic responses even after repeated use. They don’t adapt to individual users, but the Chub AI platform enables memory-based adaptation and responses shaped by user history.

Limited Support for Creative Use Cases

Mainstream AI tools are often restricted by utility-driven design. As a result, creative interactions can feel restricted. On the other hand, dynamic storytelling chatbot development like Chub AI is specially designed to allow free-form conversations and support storytelling.

Chub AI Clone At a Glance

How does Chub AI Clone compare to the top contendors in the market?

To understand where Chub AI clone stands in the market, it’s important to evaluate how it compares with well-known competitors such as Character.AI and similar character-based chatbot products. Below is the clear, product-level comparison that explains where do popular platforms focus and how Chub AI clone is positioned differently:

Moderation

The existing platforms are heavily moderated by default. They have strict content filters applied at the platform level. They also have very limited flexibility in the direction of the conversation. Many character behaviours are restricted to ensure broad public safety. So, basically, these platforms are designed to be safe for the widest possible audience, which often results in constrained conversations.

On the other hand, the moderation in the Chub AI clone is configurable and layered. In simple terms, the platform's safety and content-filtering systems are highly customizable for users and use multiple layers of checks rather than a single, rigid filter.

This offers the users controlled freedom without removing the governance.

AI Model Accessibility

Existing platforms operate on proprietary AI models. There is limited transparency into how responses are generated. Users and builders have no control over mode selection, so they must work entirely within the constraints of the platform’s internal models.

On the flip side, Chub AI Clone is designed to support multiple AI models. Based on the use case and cost, it allows for model routing. Plus, the architecture is not locked to a single proprietary system. This gives founders greater control over factors such as quality and scalability.

Character Depth and Personality Control

Many users express dissatisfaction with the existing platforms about how they offer basic personality traits and limited tools to enforce long-term personality consistency. They report that while these platforms launch with the "idea" of personality, the actual execution often falls short as the bots revert to generic responses, and they often lose context, failing to deliver nuanced interactions that users need for immersive storytelling.

This is where Chub AI's clone clearly shines, as behaviour, tone, and boundaries are enforced at the system level. Its characters are defined using structured personality rules and remain stable across long sessions and even multiple visits.

Target Audience Focus

The existing platforms are primarily mainstream accessibility, designed for casual users. But the Chub AI clone is designed for users who want deeper interaction.

End-to-End User Journey

Understanding the user journey helps founders see how different product systems, such as onboarding, memory, and conversation, work together as a unified system.

This section explains how users typically interact with a Chub AI-like chatbot over time.

Step 1: Users Enter the Platform

At this stage, users browse or are introduced to available AI characters. They may be prompted to select preferences or skip setup. The focus is on starting a conversation quickly.

When you choose to create an AI character chatbot like Chub AI with us, we make sure to keep the following in mind:

• Minimal friction
• Clear character descriptions
• Fast access to the first interaction

Step 2: How the first conversation starts

In this step, the selected character is initialised with its defined personality and behaviour. Then, the initial context is loaded. The conversation begins without requiring detailed prompts from the user.

The first conversation sets the bar for the entire product, so we make sure that your product has a clear tone and character behaviour. Alongside, it avoids generic replies.

Step 3: How Conversations Continue Within a Session

Once the session starts, users expect an uninterrupted interaction. Here, the system maintains conversational context. Messages are processed, and responses follow character rules and memory constraints.

At this point, we make sure your product has a stable response flow, and the content retention stays optimal throughout the session.

Step 4: What Happens When the User Leaves and Returns

One of the striking aspects of this product is the way it handles the user return. We make sure that when the conversation ends, character identity is not lost, and it can support seamless continuation of context across sessions. And that’s how character resumes interaction consistently when a user comes back.

How the Product Adapts Over Time

As the users will continue interacting, the system will gradually personalise the experience. The product is trained to reinforce the user-specific preferences, and that’s how, with time, the character starts responding with increasing relevance. The experience will improve without needing explicit user input.

How Users Can Expand Their Usage

Over time, users often move beyond a single interaction style. They begin exploring additional characters and engage in longer, more frequent sessions. At this stage, we make sure your product prioritises the following:

• Clear character separation
• Independent memory per character
• Easy switching without confusion

How can we create an NSFW Content Management Platform Like Chub AI for you?

Building an NSFW content management platform like Chub AI requires a structured approach that covers everything from advanced AI capabilities and UX to strict content governance. When you are pursuing a Gen AI chatbot development like Chub AI, you are not simply deploying an AI model but building a robust ecosystem that allows for safe and personalised user interactions while ensuring compliance at scale.

Below is a detailed breakdown of how this platform can be built for your needs:

Frontend Interface

We specialise in responsive and intuitive mobile app development. Character selection, interactive chat screens and customisation are designed for fast access and easy navigation.

Beyond this basic setup, we can help you with custom branding and theme integration to match your product identity. Here is what else we can do for more customisation:

• Add options ot design multiple types of chat interactions like text, voice, or multimedia.
• Add analytics tracking metrics like engagement and conversions.

Backend Integration

We will build a backend that could manage conversational flow, session tracking, and coordinate between AI models and memory systems. We will securely connect frontend interactions with AI and database systems through APIs.

Further, we can also help you create custom session management rules based on your needs, like subscription-based access. We can connect your product with third-party tools.

AI Model Layer

We will select and fine-tune the AI models for NSFW content while maintaining consistency with defined characters. Alongside, we will integrate your system with long-term and short-term memory to maintain conversational context.

Memory and Context System

To make your product capable of capturing the ongoing session context, we will employ short-term memory integration. On the other hand, to store conversation history and user preferences, we will use long-term memory. Besides, we will add character-specific memory to ensure separation of interactions for multiple AI personas.

Character System Design

We will train the product's AI system to maintain a consistent personality across sessions. Each character will have a defined personality trait, response patterns and even behaviour rules. We also make sure the customisation interface allows client-defined character creation.

Moderation and Compliance Layer

We will employ AI-driven filters to scan all the generated content for NSFW outside the defined rules and set up pipelines to handle higher-risk content. We will make sure the moderation rules align with your brand and regional laws.

Memory Architecture: A Core Product System

In a Chub AI like chatbot development, memory is not an optional enhancement but a foundational system. Without memory, every conversation starts from zero, killing the purpose of creating an AI character chatbot like Chub AI. The entire idea of the Chub AI-like platform is built around memory. If you don’t focus on this core feature, your product will end up becoming just another chatbot with no long-term user value.

This is why memory architecture must be designed intentionally right from the very beginning in Chub AI like chatbot development. It is not just about storing everything a user says, but about deciding what to remember, how long to remember it, and when to use it during conversations.

Here is how we design a robust memory architecture to support long-term engagement and scalable growth.

• We separate memory by user, session, and character. This ensures all conversations remain coherent and personalities remain consistent.
• As noted earlier, we will use both short-term and long-term memory to ensure conversations feel naturally continuous without becoming repetitive.
• We train the system to optimally control how memory is retrieved and injected into the chat, and this ensures the context enhances the responses instead of overwhelming the user with unnecessary information.
• We design memory storage to balance all the important aspects like performance, cost, personalisation and data accumulation.

By treating memory as a core product system rather than a technical afterthought, we ensure our client is able to create character AI alternatives like Chub AI that will actually deliver value to its end users.

Types of Memory Required to Build a Successful Chub AI-like Model

A Chub AI-like chatbot cannot rely on a single memory system. It needs layered and purpose-built memory to work reliably at scale and deliver a character-based experience. Each type of memory serves a specific role. When designed correctly, these layers work together to achieve close to 100% conversational continuity.

Here are the types of memory we employ in AI development services, and how they play their unique roles in the functioning of your model:

Session Memory

This type of memory is for real-time conversation stability. It is meant to store the context within the ongoing conversation. This information is typically temporary in nature, which means once the conversation ends, the data will be cleared.

The primary role of session-based memory is to create a natural conversational experience. It allows the bot to tailor responses based on the user's immediate preference or history within that session.

User Memory

User memory stores information specific to an individual user, such as preferences, interaction patterns, recurring topics and boundaries. It is a type of memory that the system can store and recall. The primary role of user-based memory is to enable the bot to move beyond a series of isolated and transactional interactions.

User memory helps the bot maintain context throughout a conversation, or even across multiple sessions. For example, a shopping bot might remember a user’s clothing size or favourite brand and offer relevant suggestions without needing to ask for the information repeatedly.

Character Memory

Character memory stores everything related to how a specific AI character behaves and what it remembers about the past interactions with a user. It is useful in preventing personality drift.

Long Term Memory

It stores important milestones and recurring themes that should persist across weeks or months. It is useful in creating a sense of progression over time. The primary role of long-term memory is to transform an AI from a "stateless" tool that starts from scratch each time into an intelligent, adaptive system that builds knowledge and context over time.

Memory Governance Layer

This layer decides what gets saved, what gets ignored, and what gets forgotten. Its key role is to provide context for smarter decisions, personalise interactions, maintain user trust and prevent security leaks.

We design each memory type for a specific role to avoid the common failures, like:

• Context loss
• Personality inconsistency
• Repetitive responses
• Escalating infrastructure costs

MVP vs Full-Scale Platform Roadmap

To build a Chub AI-like chatbot platform, you need a strategic roadmap. Because there are many factors to consider, you will not need every feature at launch, and trying to build everything at once can also delay your time-to-market. Before you start building, it’s important to understand your options, such as whether to build a minimum viable product or launch a full-scale platform.

What an MVP looks like for a Chub AI-like Platform

Founders choose this option when they want to validate the core idea quickly. It also allows them to minimise development cost and complexity. For a Chub AI-like chatbot, the MVP should focus on the features that prove the value of memory-driven, character-based conversations, without trying to deliver every advanced feature from day one.

Core Features of an MVP

• There will be basic character interaction, which means one or two characters with clearly defined personalities and behaviours will be present in the MVP model.
• It will ensure the users immediately experience what makes the platform unique.
• It will store minimal user preferences and interaction history and support basic personalisation across sessions without complex infrastructure.
• It would allow for easy account creation, character selection, and an intuitive chat interface.
• It will ensure a safe experience from the start.

Full Scale Platform

Once your MVP validate the core concept, the next step is to expand the platform into a full-scale Chub AI-like product. At this stage, your goal will be to deliver a complete experience that maximises user retention and monetisation potential.

Key Features of a Full-Scale Platform

• You can introduce multiple AI characters with distinct personalities and interaction styles.
• You can allow users to create customizable characters that users can modify or create.
• You can opt for advanced memory systems for deeper and ongoing interactions.
• You can introduce the multi-model interaction.
• You will be able to enable monetisation and subscription features like tiered subscription, premium characters and in-app purchases.
• Your platform can support multi-layered AI and human moderation for NSFW or sensitive content.
• You will be able to expand globally without compromising on performance.

A full-scale platform turns an MVP into a complete product ecosystem. It not only engaged users deeply but also provided clear pathways for revenue and long-term scalability. So, these are some key benefits that full-scale platform development will unlock for you. To better understand what else is possible, book a free demo session with us.

Build Approaches: No-Code, Clone, Custom

When it comes to building a Chub AI-LIKE Chatbot, founders have these choices:

No-Code

No Code App Development is an ideal option for the founders who want to get their idea in front of users as quickly as possible. With pre-built templates and developers’ involvement, you can launch an MVP without needing intensive development work.

It is perfect for testing the market, but there are trade-offs as well, like limited customisation and complexity to scale advanced memory systems.

Clone

If you don’t want to start from scratch, then building a Chub AI Clone is your way to go. A clone will replicate the core mechanics of Chub AI. From character chat, memory to session flow, everything will be similar to the reference app, leaving room to customise the features, UI and monetisation.

Many founders choose this approach as it comes with a proven product structure and faster time to launch.

Custom

This option is for the founders who already have a complete plan regarding what they want to build. It involves designing everything from the ground up, from memory architecture, AI behaviour, character systems, analytics and monetisation. Founders choose this approach when they want full ownership of product logic and deep memory and personalisation systems. A custom platform can also be scaled easily as users grow.

Why Chub AI-Like Platforms Are Attracting Founder and Investor Interest

Gone are the days when the market for AI companions and characters used to be speculative. Now, it’s experiencing growth at its all-time high rate. The successful launch of platforms Chub AI and Character AI has shown that users don’t just try these apps once, but they come back for extended sessions and are even willing to spend money.

Here are the top reasons that explain why entrepreneurs are eager to build AI-like platforms today.

Demand for AI Companion & Character Chat Apps is Real and Growing

As of mid-2025, AI companions apps like Replika, Character.AI, Polybuzz, and Chub AI have been downloaded 220 million times worldwide across mobile platforms. In just the first half of 2025, these apps saw 60 million downloads, which represents an 88% year-over-year increase. Total user spending on AI companion apps reached $221 million by July 2025, up 64% compared to the previous period.

These figures show that users are not just trying these products but also installing them in large numbers and spending money on them at scale.

Engagement and User Growth Metrics

For founders, retention and engagement matter more than just a one-time download. If you share this concern, rest assured that several platforms in this space have already achieved meaningful usage, indicating that users find value in these products. Character AI is one of the leading character-based chatbot platforms that has reached around 20 million monthly active users in early 2025.

Market Revenue is Already Substantial

Monetisation is one of the most significant factors for the founders and investors, and this category is showing a really high economic value. According to data shared by Appfigures, out of 337 active and revenue-generating AI companion apps available (globally), nearly 128 that were released in 2025 have generated $82 million during the first half of the year and are expected to take the number up to $ 120 million by the end of the year. Moreover, 10% of these apps have exceeded $1 million in lifetime consumer spending.

Continued Launched and Competitive Entry

A strong market always tends to attract new products and investments. There are 337 active, revenue-generating AI companion apps globally. This indicates there is a rapidly growing market and significant consumer demand for Gen AI chatbot development like Chub AI.

Chub AI Core Features vs What You Can Build Better With Us

Let’s take a look at the core features of Chub AI, like clone and what standout add-on we can help you add to enhance its usability, functionality and overall appeal.

Wrapping Up

A Chub AI-like clone is validated, and smart development makes it a business. If you also want to create an NSFW content management platform like Chub AI, we can help you realise your vision. Whether you want to start with a minimal viable product to validate your idea or plan a full-scale platform creation, we guide you through every step. Our team specialises in designing advanced AI character systems, robust memory architecture and implementing safe NSFW and moderation layers. We will make sure your platform is not just a clone but a distinct product built for long-term success.

If you’d like to explore how your AI chatbot vision can become a reality, book a free expert strategy call with our expert consultant today!

FAQs

1. How long does it take to create an NSFW content management platform like Chub AI from scratch?

The timeline generally depends on the scope and complexity of your platform. For an MVP with core features such as character chat, basic memory, and simple monetisation, development can take 3-5 months. For a full-scale, memory-driven, multi-character platform with advanced subscription tiers and creator tools, it can take 6-12 months.

2. Do you have experience building a memory-driven chatbot?

Yes, we specialise in memory-driven AI chatbots. Our approach includes developing short-term and long-term memory layers, session persistence, and user-specific context management.

3. How do you manage NSFW or sensitive content safely?

Our team has extensive experience building platforms that handle NSFW and sensitive content safely and responsibly. We have worked on AI-driven chat systems where user safety, compliance, and moderation are critical, so we understand the challenges and best practices in this space.

4. Can you implement subscription tiers and paywalls?

Yes, we design flexible monetisation structures, including subscription tiers, paywalls for premium characters or sessions, usage-based pricing, etc.

5. Is the platform GDPR, COPPA, and regionally compliant?

Yes, we ensure the platform complies with global standards, including GDPR, COPPA, and other applicable regional regulations. This includes data privacy controls and parental consent options, user data export and audit-ready recordkeeping.